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Brand & Digital Experience
MarTech Strategy & Implementation
MarTech that composes, not collides.
MarTech architectures built around a unified customer record and a clear operating model — composable, governed, and tied to outcomes.
The case
MarTech sprawl
is the silent tax.
Most enterprises are on their fourth or fifth round of MarTech adoption. Each generation left tools, identity logic, and reporting overhead in place. The current stack has 80+ tools, three competing definitions of customer, and a measurement story that doesn't reconcile to finance.
We architect MarTech the way we architect data platforms — around a unified customer record, with composable layers, governed activation, and a measurement story that survives the CFO's questions.
What we build
From sprawl
to composable spine.
MarTech architecture
A composable architecture with CDP, ESP, CRM, and analytics aligned around a unified customer record.
CDP implementation
Customer data platforms (mParticle, Segment, RudderStack) with governance and identity engineered in.
Marketing automation
Lifecycle automation, journey orchestration, and integration into the broader operating spine.
Operating model
A MarTech operating model — the people, rituals, and KPIs that turn the stack into outcomes.
Identity & consent
Identity resolution, consent management, and privacy posture — engineered for the regulators you actually face.
Activation & personalization
Decisioning engines, personalization platforms, and the activation layer that turns customer data into experience.
Reference architecture
The composable
MarTech stack.
Layers, not a megasuite. We architect for replaceability — every component earns its keep against the unified customer record.
Customer data plane
Layer 01One unified customer record across every surface.
Engagement plane
Layer 02Engagement tools that activate from the unified record.
Decisioning plane
Layer 03Personalization, journey orchestration, and decisioning.
Measurement plane
Layer 04Attribution, MMM, and incrementality — finance-grade.
Stacks we work with
A composable MarTech spine —
around the customer record, not the catalog.
We don't sell a stack — we engineer one against your customer data strategy. Below is the toolkit, with the opinionated stance on how each layer earns its place. Most enterprises run between four and seven of these categories.
CDP
The single customer record. Choice driven by your identity strategy, warehouse-native vs. SaaS posture, and which downstream activations you actually need to power.
ESP / lifecycle
Where customer engagement actually happens. Picked for journey orchestration depth, integration with the CDP, and the degree to which marketers can self-serve without hand-coded SQL.
CRM
The system-of-record for relationships. We design the CDP to feed the CRM, not duplicate it — the moment they diverge, every report stops reconciling.
Personalization
Where customer data activates in product. Server-side and feature-flagged variants over heavy client-side scripts — the difference shows up in performance budgets and incident counts.
Measurement
Finance-reconcilable measurement on warehouse-native data. Vanity dashboards aren't enough at enterprise scale — attribution has to survive a CFO's questions, not just a marketing review.
Where this applies
Wherever marketing
is data-rich.
- Luxury & Heritage Brands
- Consumer D2C
- Hospitality & Travel
- Banking & Wealth Management
- Insurance
- Healthcare (regulated)
- Higher Education
- Telecom & Media
- B2B SaaS
- Retail
- Subscription Services
- Sports & Entertainment
Related in Brand & Digital Experience
Adjacent capabilities
in this practice.
Brand Identity Development
Strategic and visual identity grounded in customer truth — a system, not a moodboard.
Web Design & Development
Engineered web experiences on modern stacks with design systems wired to production.
Customer Journey Optimization
End-to-end CX architecture, instrumented with measurable conversion outcomes.
Start the conversation
From sprawl
to a composable spine.
Tell us where your stack stops making sense. We'll diagnose, propose the rationalisation that pays back fastest, and engineer the spine.